code: def test_dict_examples(self):
      test_case = {
          "meta": {"out": ["test", "test"]},
          PostFix.meta("image"): {
              "scl_slope": torch.Tensor((0.0, 0.0))
          },
      }
      out = decollate_batch(test_case)
      self.assertEqual(out[0]["meta"]["out"], "test")
      self.assertEqual(out[0][PostFix.meta("image")]["scl_slope"], 0.0)
  
      test_case = [torch.ones((2, 1, 10, 10)), torch.ones((2, 3, 5, 5))]
      out = decollate_batch(test_case)
      self.assertTupleEqual(out[0][0].shape, (1, 10, 10))
      self.assertTupleEqual(out[0][1].shape, (3, 5, 5))
  
      test_case = torch.rand((2, 1, 10, 10))
      out = decollate_batch(test_case)
      self.assertTupleEqual(out[0].shape, (1, 10, 10))
  
      test_case = [torch.tensor(0), torch.tensor(0)]
      out = decollate_batch(test_case, detach=True)
      self.assertListEqual([0, 0], out)
      self.assertFalse(isinstance(out[0], torch.Tensor))
  
      test_case = {"a": [torch.tensor(0), torch.tensor(0)]}
      out = decollate_batch(test_case, detach=False)
      self.assertListEqual(
          [{"a": torch.tensor(0)}, {"a": torch.tensor(0)}], out
      )
      self.assertTrue(isinstance(out[0]["a"], torch.Tensor))
  
      test_case = [torch.tensor(0), torch.tensor(0)]
      out = decollate_batch(test_case, detach=False)
      self.assertListEqual(test_case, out)
  
      test_case = {
          "image": torch.tensor([[[1, 2]], [[3, 4]]]),
          "label": torch.tensor([[[5, 6]], [[7, 8]]]),
          "pred": torch.tensor([[[9, 10]], [[11, 12]]]),
          "out": ["test"],
      }
      out = decollate_batch(test_case, detach=False)
      self.assertEqual(out[0]["out"], "test")
  
      test_case = {
          "image": torch.tensor([[[1, 2, 3]], [[3, 4, 5]]]),
          "label": torch.tensor([[[5]], [[7]]]),
          "out": ["test"],
      }
      out = decollate_batch(test_case, detach=False, pad=False)
      self.assertEqual(len(out), 1)  # no padding
      out = decollate_batch(
          test_case, detach=False, pad=True, fill_value=0
      )
      self.assertEqual(out[1]["out"], 0)
  
imports: from __future__ import annotations
  import sys
  import unittest
  from enum import Enum
  import numpy
  import torch
  from parameterized import parameterized
  from monai.data import CacheDataset, DataLoader, Dataset, create_test_image_2d
  from monai.data.utils import decollate_batch
  from monai.transforms import Compose, EnsureChannelFirst, EnsureChannelFirstd, LoadImage, LoadImaged, RandAffine, RandFlip, RandFlipd, RandRotate90, SpatialPad, SpatialPadd, ToTensor, ToTensord
  from monai.transforms.inverse_batch_transform import Decollated
  from monai.transforms.spatial.dictionary import RandAffined, RandRotate90d
  from monai.utils import optional_import, set_determinism
  from monai.utils.enums import PostFix, TraceKeys
  from tests.utils import make_nifti_image
label_desc: Use image node_id 2 for calling the TestBasicDeCollate obj's underlying member method code with example usage: obj.test_dict_examples() without return types